Overview
The opportunities for using data science in different contexts are vast. Employers from increasingly diverse sectors now require people with skills in a range of state-of-the-art methods and technologies to understand, manage and exploit data. This Built Environment - Sustainable Heritage (Data Science) programme from UCL pioneers a new way of teaching data science through application in the cross-disciplinary context of cultural heritage.
You develop advanced data science skills, such as coding, crowd-sourced data science, machine learning and data visualisation. You also explore the complexities of acquisition, analysis and exploitation of the variety of data that is generated and used in heritage contexts, including data generated through analysis and measurement, imaging and surveying, citizen science, and digitally born data.
Employability
This degree route has been developed with input from industry leaders from a diverse range of sectors, including architecture, heritage, social media and digital technologies. You will gain exposure to real data challenges from these industries to develop a skill-set in data science that will be highly transferable across these and many other sectors.
An applied focus and an emphasis on innovation, along with crossdisciplinarity, critical thinking, are the key qualities that will define the professional character of our graduates and will make you stand out from other data scientists.
There is an opportunity to work closely with a heritage organisation or practice during the route which is facilitated through the professional networks of the academic staff, including our guest lecturers, many of whom come from prestigious heritage organisations.
Students gain access to our extensive alumni network of professionals who are now leaders in the field.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Heritage Data Mapping and Visualisation
- Machine Learning for Heritage
- Sustainable Heritage - Management, Science and Foresight
- Policy Advice and Evidence for Heritage
- Statistics for Heritage Science
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
- London, United Kingdom
- London, United Kingdom
Disciplines
Sustainable Development Data Science & Big Data View 279 other Masters in Sustainable Development in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Normally a minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard.
- Applicants with degrees of a lower classification but with considerable senior-level professional experience may also be accepted. Please note that a special qualifying examination may be set.
- Details of this route can be obtained from the department.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents39200 GBP / year≈ 39200 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents21500 GBP / year≈ 21500 GBP / year
Additional Details
Part-time tuition:
- UK: £10,750
- International: £19,600
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Built Environment - Sustainable Heritage (Data Science).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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